CVE-2024-35198
TorchServe URL Path Traversal Remote Code Execution Vulnerability
Description
TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. TorchServe 's check on allowed_urls configuration can be by-passed if the URL contains characters such as ".." but it does not prevent the model from being downloaded into the model store. Once a file is downloaded, it can be referenced without providing a URL the second time, which effectively bypasses the allowed_urls security check. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected. This issue in TorchServe has been fixed by validating the URL without characters such as ".." before downloading see PR #3082. TorchServe release 0.11.0 includes the fix to address this vulnerability. Users are advised to upgrade. There are no known workarounds for this vulnerability.
INFO
Published Date :
July 19, 2024, 2:15 a.m.
Last Modified :
Aug. 7, 2024, 4:15 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
3.9
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2024-35198.
| URL | Resource |
|---|---|
| https://github.com/pytorch/serve/pull/3082 | |
| https://github.com/pytorch/serve/releases/tag/v0.11.0 | |
| https://github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2 |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2024-35198 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2024-35198 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
Aug. 07, 2024
Action Type Old Value New Value Removed CVSS V3.1 GitHub, Inc. AV:A/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N Added CVSS V3.1 GitHub, Inc. AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H -
CVE Received by [email protected]
Jul. 19, 2024
Action Type Old Value New Value Added Description TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. TorchServe 's check on allowed_urls configuration can be by-passed if the URL contains characters such as ".." but it does not prevent the model from being downloaded into the model store. Once a file is downloaded, it can be referenced without providing a URL the second time, which effectively bypasses the allowed_urls security check. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected. This issue in TorchServe has been fixed by validating the URL without characters such as ".." before downloading see PR #3082. TorchServe release 0.11.0 includes the fix to address this vulnerability. Users are advised to upgrade. There are no known workarounds for this vulnerability. Added Reference GitHub, Inc. https://github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2 [No types assigned] Added Reference GitHub, Inc. https://github.com/pytorch/serve/pull/3082 [No types assigned] Added Reference GitHub, Inc. https://github.com/pytorch/serve/releases/tag/v0.11.0 [No types assigned] Added CWE GitHub, Inc. CWE-706 Added CVSS V3.1 GitHub, Inc. AV:A/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2024-35198 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2024-35198
weaknesses.